Gait Training Using Artificial Intelligence in Patients with Above Knee Amputation Aged 16 to 50

What this Trial Is About

Researchers are evaluating the use of artificial intelligence in gait training for patients with above-knee amputations. This study aims to compare the effects of gait training using artificial intelligence with a traditional physical therapy program to assess stability improvements in this patient group. The trial is interventional and randomized, with a quadruple masking design to ensure unbiased results. Participants will be assigned to one of two groups one receiving gait training assisted by artificial intelligence and the other undergoing a traditional physical therapy program. The study will focus on measuring stability indices to understand how each training method impacts balance and movement control in above-knee amputee patients. During the study, participants will be assessed on three main stability measures Medio-lateral Stability Index MLSI, Anterior-posterior Stability Index APSI, and Overall Stability Index OSI. These measurements will be taken at the start of the study Day 0 and after 30 days Day 30. The study will monitor participant progress and safety throughout this period, providing valuable data on the effectiveness of artificial intelligence in improving gait training outcomes.

Gait Training and Artificial Intelligence